Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence

Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence
Author :
Publisher : Springer Science & Business Media
Total Pages : 862
Release :
ISBN-10 : 9783540422358
ISBN-13 : 3540422358
Rating : 4/5 (358 Downloads)

Book Synopsis Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence by : Jose Mira

Download or read book Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence written by Jose Mira and published by Springer Science & Business Media. This book was released on 2001-06-05 with total page 862 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes, together with its companion, LNCS 2085, the refereed proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2001, held in Granada, Spain, in June 2001. The 200 revised papers presented were carefully reviewed and selected for inclusion in the proceedings. The papers are organized in sections on foundations of connectionism, biophysical models of neurons, structural and functional models of neurons, learning and other plasticity phenomena, complex systems dynamics, artificial intelligence and congnitive processes, methodology for nets design, nets simulation and implementation, bio-inspired systems and engineering, and other applications in a variety of fields.


Connectionist Models of Neurons, Learning Processes, and Artificial Intelligence Related Books